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AI's emissions are about to skyrocket even further


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Published in Science and Technology on by MIT Technology Review   Print publication without navigation

Data center emissions have tripled since 2018. As more complex AI models like OpenAI's Sora see broad release, those figures will likely go through the roof.

The article from MIT Technology Review discusses the escalating environmental impact of AI, particularly focusing on the significant increase in carbon emissions due to the energy-intensive nature of AI model training and operation. It highlights that as AI technologies become more integrated into various sectors, their energy consumption is set to skyrocket, potentially doubling or even tripling current levels by 2030. The piece points out the irony that while AI is being used to address climate change, its own carbon footprint is becoming a substantial concern. Efforts to mitigate this include developing more energy-efficient algorithms, using renewable energy sources for data centers, and exploring ways to reduce the computational demands of AI models. However, the rapid growth in AI applications across industries like healthcare, finance, and autonomous driving means that without significant advancements in green technology, AI's environmental toll could undermine global efforts to reduce carbon emissions.

Read the Full MIT Technology Review Article at:
[ https://www.technologyreview.com/2024/12/13/1108719/ais-emissions-are-about-to-skyrocket-even-further/ ]

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